LMS Technical Solutions Architect

IntraEdge; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

IntraEdge seeks an LMS Solutions Architect to own the technical design, development, configuration, integration, and optimization of scalable learning technology solutions delivered as part of a managed service.

The role emphasizes designing reusable technical solutions, AI-enabled capabilities, and workflow automations that improve learner experiences, platform reliability, and service outcomes while ensuring aligned governance and security standards.

Responsibilities

• Design scalable, reusable solutions for learning portals, organizations, registration workflows, learner journeys, and digital learning experiences.
• Develop solution architectures aligned with established platform standards and operational requirements.
• Prototype, validate, and demonstrate technical solutions for approved initiatives.
• Build reusable technical components supporting scalable implementations.
• Design, develop, and maintain AI-powered solutions that enhance learning platform functionality and operational workflows.
• Integrate enterprise AI platforms and LLM services into learning workflows using APIs, cloud services, and automation platforms.
• Prototype AI-enabled capabilities and proof-of-concepts to validate technical feasibility for approved business initiatives.
• Develop reusable AI components, prompt templates, and workflow patterns to improve scalability across learning solutions.
• Optimize AI-powered solutions based on performance, user feedback, and operational metrics.
• Diagnose and resolve complex technical issues across the learning technology ecosystem and connected enterprise platforms.
• Manage incident resolution and implement preventative improvements through documented operational processes.
• Establish testing standards and quality assurance processes for platform enhancements.
• Validate technical solutions prior to production deployment.
• Design and maintain integrations between the learning technology ecosystem, enterprise systems, AI platforms, and cloud services.
• Develop SQL queries, reporting solutions, and backend workflows supporting operational and business analytics.
• Manage technical delivery for webinars, online assessments, certification workflows, and other learning operations.
• Ensure reliable execution of recurring operational activities.
• Develop and maintain technical documentation, architectural standards, operational procedures, and knowledge repositories.
• Create reusable implementation assets, prompt libraries, AI design patterns, and technical playbooks supporting scalable delivery.
• Manage administrative governance for learning platforms and connected services.
• Ensure platform configurations align with security, compliance, and operational standards.
• Research, prototype, and operationalize emerging AI capabilities, workflow automation, and third-party technologies that improve operational efficiency.
• Evaluate and implement approved technologies that enhance platform capabilities and service quality.
• Evaluate, implement, and operationalize third-party platform integrations.
• Manage the technical health, performance, and lifecycle of integrated solutions.
• Develop enablement materials, technical standards, and operational guidance supporting consistent service delivery across supplier teams.
• Analyze platform performance and recommend technical enhancements.
• Drive ongoing improvements in solution architecture, maintainability, automation, scalability, and operational efficiency.

Job description

The LMS Solutions Architect owns the technical design, development, configuration, integration, and optimization of scalable learning technology solutions delivered as part of a managed service. This role is responsible for designing and implementing reusable technical solutions, AI-enabled capabilities, system integrations, and workflow automations that improve operational efficiency, learner experiences, and platform reliability while delivering agreed service outcomes.

Responsibilities :

• Design scalable, reusable solutions for learning portals, organizations, registration workflows, learner journeys, and digital learning experiences.
• Develop solution architectures aligned with established platform standards and operational requirements.
• Prototype, validate, and demonstrate technical solutions for approved initiatives.

2. Application Development

• Build reusable technical components supporting scalable implementations.

3. AI Solution Development

• Design, develop, and maintain AI-powered solutions that enhance learning platform functionality and operational workflows.
• Build AI agents and intelligent automations that streamline learner support, knowledge retrieval, certification workflows, content operations, and administrative processes.
• Integrate enterprise AI platforms and LLM services into learning workflows using APIs, cloud services, and automation platforms.
• Prototype AI-enabled capabilities and proof-of-concepts to validate technical feasibility for approved business initiatives.
• Develop reusable AI components, prompt templates, and workflow patterns to improve scalability across learning solutions.
• Optimize AI-powered solutions based on performance, user feedback, and operational metrics.

4. Platform Operations

• Diagnose and resolve complex technical issues across the learning technology ecosystem and connected enterprise platforms.
• Manage incident resolution and implement preventative improvements through documented operational processes.

5. Quality Assurance

• Establish testing standards and quality assurance processes for platform enhancements.
• Validate technical solutions prior to production deployment.

6. Cross-System Integration

• Design and maintain integrations between the learning technology ecosystem, enterprise systems, AI platforms, and cloud services.
• Develop SQL queries, reporting solutions, and backend workflows supporting operational and business analytics.

7. Operational Support Services

• Manage technical delivery for webinars, online assessments, certification workflows, and other learning operations.
• Ensure reliable execution of recurring operational activities.

8. Documentation & Standards

• Develop and maintain technical documentation, architectural standards, operational procedures, and knowledge repositories.
• Create reusable implementation assets, prompt libraries, AI design patterns, and technical playbooks supporting scalable delivery.

9. Platform Administration

• Manage administrative governance for learning platforms and connected services.
• Ensure platform configurations align with security, compliance, and operational standards.

10. Technology Innovation

• Research, prototype, and operationalize emerging AI capabilities, workflow automation, and third-party technologies that improve operational efficiency.
• Evaluate and implement approved technologies that enhance platform capabilities and service quality.
• Evaluate, implement, and operationalize third-party platform integrations.
• Manage the technical health, performance, and lifecycle of integrated solutions.

12. Knowledge Transfer

• Develop enablement materials, technical standards, and operational guidance supporting consistent service delivery across supplier teams.
• Analyze platform performance and recommend technical enhancements.
• Drive ongoing improvements in solution architecture, maintainability, automation, scalability, and operational efficiency.